APM in oil and Gas Industry

1. A S S E T
P E R F O R M A N C E
M A N A G E M E N T
I N O I L & G A S
W W W . A R R E L I C . C O M
ARRELIC INSIGHTS

2. A S S E T P E R F O R M A N C E M A N A G E M E N T
R E P O R T
I N T R O D U C T I O N
Asset Performance Management (APM) is a discipline that has been growing
in interest by many oil and gas operators around the world. Successful APM
requires efficient flow of data across all activities that impact asset
performance. For many years companies have functioned with departments
working completely independently, in silos. This created inefficiency in the
flow of data and information. The same data are typically added to multiple
systems without the realization of its extensive potential. Information, which
is here defined as post-processed data resulting in useful knowledge, only
flows through specific departments, reducing its potential value.
P A G E 0 1 |
A P M R E V I E W
Asset performance management is a framework encompassing the next
generation of methods used to ensure that performance is optimum
throughout the entire asset lifecycle. Arrelic is redefining asset performance
management toward an all-encompassing risk-based approach to design and
operations. This means incorporating to the short and long-term decision-
making process with well-established techniques taking advantage of
industry knowledge and standards. At Arrelic, asset performance
management encompasses the capabilities of data capture, integration,
visualization and analytics tied together for the explicit purpose of improving
the operational performance of physical assets. APM includes the concepts of
condition monitoring, predictive forecasting and reliability-centred
maintenance (RCM), risk-based inspection (RBI), quantitative risk assessment
(QRA), safety integrity level (SIL), and integrity operating window (IOW).

3. A S S E T P E R F O R M A N C E M A N A G E M E N T
R E P O R T
A P M I N D E S I G N P H A S E
The ability to influence cost becomes limited as the project evolves
throughout the design phase, with design optimization. Thus, methodologies
such as reliability, availability and maintainability analysis (RAM analysis) and
operational forecasting are vital in the development of capital projects in the
oil and gas industry. The earlier in the project the decision to change
something is made, the more effective it will be from a cost perspective.
P A G E 0 2 |
A P M I N O P E R A T I O N S A N D
M A I N T E N A N C E P H A S E
Risk-based methods such as risk-based inspection (RBI), safety integrity level
(SIL), assessment and reliability-centered maintenance (RCM) can be used to
rank system and equipment criticality and to develop strategies for
maintenance and inspection to manage the risks. Taking the risk approach
has significant impact in many areas, including cost, staff morale,
maintenance resources allocation, control of maintenance budgets, efficiency
and reduced production scrap, to mention just a few.
Companies with mature reliability and safety programs typically make use of
quantitative and more advanced methods such as quantitative risk-based
inspection or failure mode effect and criticality analysis.

4. A S S E T P E R F O R M A N C E M A N A G E M E N T R E P O R T
P A G E 0 3 |
E F F E C T I V E I N F O R M A T I O N M A N A G E M E N T
W I T H A D I G I T A L T W I N
Poor information management is a hidden cost that can account for up to a
fifth of operational budgets. The digital twin addresses this weakness. The
digital twin is a digital, virtual representation of an asset, maintained
throughout the lifecycle and easily accessible at any time. Central to this new
concept is the creation of the digital asset ecosystem. The digital asset
ecosystem is a network of interconnecting and interacting data, software and
hardware relating to the asset and its system. One powerful aspect of this
approach is enabling a new generation of advanced predictive analytics that
are central to advancing asset performance management.
I N T E L L I G E N T A N A L Y T I C A L S O L U T I O N S I N
A P M
Risk-based inspection (RBI)Plant integrity management
Reliability centered maintenance (RCM)
Performance forecasting
Safety integrity level (SIL)

5. A S S E T P E R F O R M A N C E M A N A G E M E N T R E P O R T
P A G E 0 4 |
P L A N T I N T E G R I T Y M A N A G E M E N T
Arrelic's asset performance management (APM) offering also includes Synergi
Plant for plant integrity management. It empowers companies to capture,
integrate and visualize data, which can be further integrated with analytical
tools such as reliability-centered maintenance (RCM), risk-based inspection
(RBI), performance forecasting (RAM analysis) and safety integrity level (SIL)
with the clear objective of improving the reliability and availability of assets
R A M A N A L Y S I S - R E L I A B I L I T Y , A V A I L A B I L I T Y
A N D M A I N T A I N A B I L I T Y
Reliability, Availability and Maintainability (RAM) analysis allows you to
simulate the entire life time performance of an asset in terms of availability,
production efficiency and profitability. By using this well-established
analytical method, you are able to predict problems before they occur. RAM
analysis is performed in design and operation, from upstream oil and gas
extraction through processing and transport logistics to the delivery of
refined products to the customer.

6. A S S E T P E R F O R M A N C E M A N A G E M E N T R E P O R T
P A G E 0 5 |
P R O C E S S H A Z A R D A N A L Y S I S
Materials such as oil and gas can present a significant hazard due in part to
their high-energy content. Pharmaceuticals and petrochemicals may be
flammable, explosive and toxic. To add to the risk, hazardous pressures and
temperatures are often necessary to process these materials to create usable
products. For these reasons the process industry is a source of major hazards
to people, property and the environment. The global community of process
safety professionals continuously strives to manage these hazards. Arrelic's
hazard analysis tools contain world-leading, experimentally validated models
for simulation of the behavior of loss of containment of hazardous materials
.

7. A S S E T P E R F O R M A N C E M A N A G E M E N T R E P O R T
P A G E 0 6 |
R I S K A N A L Y S I S - Q R A
Traditionally, the purpose of conducting a risk analysis has been to comply
with regulatory requirements. This paradigm has evolved into risk-based
design and risk-based operations. Quantification of risk forms a valuable basis
on which to help determine where to focus avoidance, prevention and
mitigation measures, given finite resources. Arrelic's risk analysis tools have
been adopted globally in the oil and gas, petrochemicals, chemicals,
pharmaceutical, insurance, steel and other industries for the purpose of
understanding and therefore managing risk.
.

8. P A G E 0 7 |
A S S E T P E R F O R M A N C E M A N A G E M E N T R E P O R T
INCREASE IN EBITDA
UPTO
25%
DECREASE IN MANUFACTURING
COST
UPTO
30%

9. Got any
Questions?
www.arrelic.com
info@arrelic.com
ASSET PERFORMANCE MANAGEMENT REPORT
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ARRELIC
DesignedinIndia|Arrelic
Arrelic is a fast-growing deep-tech firm aiming to bring the next level of IoT based sensor technology to
transform the mode of manufacturing operation and maintenance practice of various industries with
extensive expertise in Reliability Engineering, Predictive Maintenance, Industrial Internet of Things (IIoT)
Sensors, Machine Learning and Artificial Intelligence. We provide a single ecosystem for catering all
industry needs from Consulting to IoT and Analytics as well as providing Training and Development courses
for different stakeholders. We aim to help manufacturing industries to improve their overall plant
productivity, reliability and minimize total production cost by 25-30% by eliminating machine downtime,
lightening management decisions by analysing the machine data with right mind and expertise; for a worry
free operation
About Arrelic
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particular individual or entity. Although we endeavor to provide accurate and timely information, there can be no
guarantee that such information is accurate as of the date it is received or that it will continue to be accurate in the
future. No one should act on such information without appropriate professional advice after a thorough examination of
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